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Modeling for home electric energy management: A review

Author

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  • Vega, A.M.
  • Santamaria, F.
  • Rivas, E.

Abstract

In recent decades researchers and companies around the world have developed proposals related to Home Energy Management Systems. This paper presents a review of the most relevant literature published on that subject focused on infrastructure, communication media – protocols, variables managed by the system, software and the role of the end user. For this research, around seventy energy management models were studied, and their main advances and contributions were analyzed. In addition, based on this review and the empties observed on existing home energy management models, a preliminary model is proposed. In the proposal, the main elements of the studied models are grouped and the new model is combined with external variables, which influence the implementation of the management system, to give the end-user its proper role as an active part of the electricity value chain, as a strategy to contribute with home energy efficiency providing new demand patterns.

Suggested Citation

  • Vega, A.M. & Santamaria, F. & Rivas, E., 2015. "Modeling for home electric energy management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 948-959.
    • Handle: RePEc:eee:rensus:v:52:y:2015:i:c:p:948-959
    DOI: 10.1016/j.rser.2015.07.023
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    References listed on IDEAS

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    1. Matsui, Kanae & Ochiai, Hideya & Yamagata, Yoshiki, 2014. "Feedback on electricity usage for home energy management: A social experiment in a local village of cold region," Applied Energy, Elsevier, vol. 120(C), pages 159-168.
    2. Aziz, A.F.A. & Khalid, S.N. & Mustafa, M.W. & Shareef, H. & Aliyu, G., 2013. "Artificial Intelligent Meter development based on Advanced Metering Infrastructure technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 191-197.
    3. Ueno, Tsuyoshi & Sano, Fuminori & Saeki, Osamu & Tsuji, Kiichiro, 2006. "Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data," Applied Energy, Elsevier, vol. 83(2), pages 166-183, February.
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    Cited by:

    1. Fletcher, James & Malalasekera, Weeratunge, 2016. "Development of a user-friendly, low-cost home energy monitoring and recording system," Energy, Elsevier, vol. 111(C), pages 32-46.
    2. Golpîra, Hêriş & Khan, Syed Abdul Rehman, 2019. "A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty," Energy, Elsevier, vol. 170(C), pages 1113-1129.
    3. Abubakar, I. & Khalid, S.N. & Mustafa, M.W. & Shareef, Hussain & Mustapha, M., 2017. "Application of load monitoring in appliances’ energy management – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 235-245.
    4. Alvaro Llaria & Jessye Dos Santos & Guillaume Terrasson & Zina Boussaada & Christophe Merlo & Octavian Curea, 2021. "Intelligent Buildings in Smart Grids: A Survey on Security and Privacy Issues Related to Energy Management," Energies, MDPI, vol. 14(9), pages 1-37, May.
    5. Ángeles Verdejo-Espinosa & Macarena Espinilla-Estévez & Francisco Mata Mata, 2020. "Smart Grids and Their Role in Transforming Human Activities—A Systematic Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-26, October.
    6. Yildiz, B. & Bilbao, J.I. & Dore, J. & Sproul, A.B., 2017. "Recent advances in the analysis of residential electricity consumption and applications of smart meter data," Applied Energy, Elsevier, vol. 208(C), pages 402-427.
    7. Davarzani, Sima & Pisica, Ioana & Taylor, Gareth A. & Munisami, Kevin J., 2021. "Residential Demand Response Strategies and Applications in Active Distribution Network Management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    8. Elma, Onur & Taşcıkaraoğlu, Akın & Tahir İnce, A. & Selamoğulları, Uğur S., 2017. "Implementation of a dynamic energy management system using real time pricing and local renewable energy generation forecasts," Energy, Elsevier, vol. 134(C), pages 206-220.
    9. Mehdi Dhifli & Abderezak Lashab & Josep M. Guerrero & Abdullah Abusorrah & Yusuf A. Al-Turki & Adnane Cherif, 2020. "Enhanced Intelligent Energy Management System for a Renewable Energy-Based AC Microgrid," Energies, MDPI, vol. 13(12), pages 1-18, June.
    10. Alam, Sheraz & Sohail, M. Farhan & Ghauri, Sajjad A. & Qureshi, I.M. & Aqdas, Naveed, 2017. "Cognitive radio based Smart Grid Communication Network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 535-548.
    11. Danish Mahmood & Nadeem Javaid & Nabil Alrajeh & Zahoor Ali Khan & Umar Qasim & Imran Ahmed & Manzoor Ilahi, 2016. "Realistic Scheduling Mechanism for Smart Homes," Energies, MDPI, vol. 9(3), pages 1-28, March.

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